Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
rochelle_togo_figa is a CEO	1111	06-jul-2018	94.4
flexsteel_inds_inc is a biotech company	1111	06-jul-2018	100.0
leafminer_fly is an insect	1111	06-jul-2018	100.0
sulfamethoxazole_trimethoprim is an archaeon	1111	06-jul-2018	92.0
n18_10_2007 is a date	1111	06-jul-2018	100.0
system looks like display001	1112	24-jul-2018	98.4
robin_pflugrad works for montana	1112	24-jul-2018	93.8
bed is often found in square_foot_rooms	1115	03-sep-2018	93.8
newsday is a newspaper in the city new_york	1116	12-sep-2018	100.0
walt_disney_world is a stadium or event venue located in the city orlando	1116	12-sep-2018	100.0